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Semantic ScholarEMNLP 2018: Brussels, Belgium
Ellen Riloff, David Chiang, Julia Hockenmaier, Jun'ichi Tsujii:
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-84-1- Frontmatter.
- Maximin Coavoux, Shashi Narayan, Shay B. Cohen:
Privacy-preserving Neural Representations of Text. 1-10 - Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum:
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. 22-32 - Zijian Wang, David Jurgens:
It's going to be okay: Measuring Access to Support in Online Communities. 33-45 - Serina Chang, Ruiqi Zhong, Ethan Adams, Fei-Tzin Lee, Siddharth Varia, Desmond Patton, William R. Frey, Chris Kedzie, Kathy McKeown:
Detecting Gang-Involved Escalation on Social Media Using Context. 46-56 - Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. 57-66 - Adam Poliak, Aparajita Haldar, Rachel Rudinger, J. Edward Hu, Ellie Pavlick, Aaron Steven White, Benjamin Van Durme:
Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation. 67-81 - Matthew Lamm, Arun Tejasvi Chaganty, Christopher D. Manning, Dan Jurafsky, Percy Liang:
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. 82-92 - Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. 93-104 - Wenpeng Yin, Dan Roth:
TwoWingOS: A Two-Wing Optimization Strategy for Evidential Claim Verification. 105-114 - Shaonan Wang, Jiajun Zhang, Chengqing Zong:
Associative Multichannel Autoencoder for Multimodal Word Representation. 115-124 - Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun:
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. 137-149 - Paul Pu Liang, Ziyin Liu, AmirAli Bagher Zadeh, Louis-Philippe Morency:
Multimodal Language Analysis with Recurrent Multistage Fusion. 150-161 - Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie, Tat-Seng Chua:
Temporally Grounding Natural Sentence in Video. 162-171 - Hong Chen, Zhenhua Fan, Hao Lu, Alan L. Yuille, Shu Rong:
PreCo: A Large-scale Dataset in Preschool Vocabulary for Coreference Resolution. 172-181 - Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu:
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. 182-192 - Nafise Sadat Moosavi, Michael Strube:
Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers. 193-203 - Mingda Chen, Qingming Tang, Karen Livescu, Kevin Gimpel:
Variational Sequential Labelers for Semi-Supervised Learning. 215-226 - Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Chengjiang Li, Xu Chen, Tiansi Dong:
Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision. 227-237 - Yftah Ziser, Roi Reichart:
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance. 238-249 - Lifu Huang, Kyunghyun Cho, Boliang Zhang, Heng Ji, Kevin Knight:
Multi-lingual Common Semantic Space Construction via Cluster-Consistent Word Embedding. 250-260 - Edoardo Maria Ponti, Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. 282-293 - Yerai Doval, José Camacho-Collados, Luis Espinosa Anke, Steven Schockaert:
Improving Cross-Lingual Word Embeddings by Meeting in the Middle. 294-304 - Manaal Faruqui, Ellie Pavlick, Ian Tenney, Dipanjan Das:
WikiAtomicEdits: A Multilingual Corpus of Wikipedia Edits for Modeling Language and Discourse. 305-315 - Daniela Gerz, Ivan Vulic, Edoardo Maria Ponti, Roi Reichart, Anna Korhonen:
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling. 316-327 - Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss:
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text. 328-337 - Weichao Wang, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang:
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning. 338-348 - Zhichun Wang, Qingsong Lv, Xiaohan Lan, Yu Zhang:
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks. 349-357 - Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu:
Cross-lingual Lexical Sememe Prediction. 358-368 - Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime G. Carbonell:
Neural Cross-lingual Named Entity Recognition with Minimal Resources. 369-379 - Yun Chen, Victor O. K. Li, Kyunghyun Cho, Samuel R. Bowman:
A Stable and Effective Learning Strategy for Trainable Greedy Decoding. 380-390 - Yang Zhao, Jiajun Zhang, Zhongjun He, Chengqing Zong, Hua Wu:
Addressing Troublesome Words in Neural Machine Translation. 391-400 - Jetic Gu, Hassan S. Shavarani, Anoop Sarkar:
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing. 401-413 - Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. 414-424 - Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, Tom M. Mitchell:
Contextual Parameter Generation for Universal Neural Machine Translation. 425-435 - Marzieh Fadaee, Christof Monz:
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. 436-446 - Jiali Zeng, Jinsong Su, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin, Jianqiang Zhao:
Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination. 447-457 - Sebastian Ruder, Ryan Cotterell, Yova Kementchedjhieva, Anders Søgaard:
A Discriminative Latent-Variable Model for Bilingual Lexicon Induction. 458-468 - Sergey Edunov, Myle Ott, Michael Auli, David Grangier:
Understanding Back-Translation at Scale. 489-500 - Shyam Upadhyay, Jordan Kodner, Dan Roth:
Bootstrapping Transliteration with Guided Discovery for Low-Resource Languages. 501-511 - Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu:
Adaptive Multi-pass Decoder for Neural Machine Translation. 523-532 - Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, Yang Liu:
Improving the Transformer Translation Model with Document-Level Context. 533-542 - Michael Petrochuk, Luke Zettlemoyer:
SimpleQuestions Nearly Solved: A New Upperbound and Baseline Approach. 554-558 - Min Joon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi:
Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. 559-564 - Jinhyuk Lee, Seongjun Yun, Hyunjae Kim, Miyoung Ko, Jaewoo Kang:
Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering. 565-569 - Sathish Reddy Indurthi, Seunghak Yu, Seohyun Back, Heriberto Cuayáhuitl:
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. 570-575 - Bernhard Kratzwald, Stefan Feuerriegel:
Adaptive Document Retrieval for Deep Question Answering. 576-581 - Mareike Hartmann, Yova Kementchedjhieva, Anders Søgaard:
Why is unsupervised alignment of English embeddings from different algorithms so hard? 582-586 - Yimeng Zhuang, Jinghui Xie, Yinhe Zheng, Xuan Zhu:
Quantifying Context Overlap for Training Word Embeddings. 587-593 - Koki Washio, Tsuneaki Kato:
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space. 594-600 - Jinman Zhao, Sidharth Mudgal, Yingyu Liang:
Generalizing Word Embeddings using Bag of Subwords. 601-606 - Barbara Plank, Zeljko Agic:
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging. 614-620 - Zi-Yi Dou, Zhi-Hao Zhou, Shujian Huang:
Unsupervised Bilingual Lexicon Induction via Latent Variable Models. 621-626 - Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales:
Learning Unsupervised Word Translations Without Adversaries. 627-632 - Ryo Masumura, Yusuke Shinohara, Ryuichiro Higashinaka, Yushi Aono:
Adversarial Training for Multi-task and Multi-lingual Joint Modeling of Utterance Intent Classification. 633-639 - Shiv Shankar, Siddhant Garg, Sunita Sarawagi:
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. 640-645 - Ying Chen, Wenjun Hou, Xiyao Cheng, Shoushan Li:
Joint Learning for Emotion Classification and Emotion Cause Detection. 646-651 - Cornelia Caragea, Liviu P. Dinu, Bogdan Dumitru:
Exploring Optimism and Pessimism in Twitter Using Deep Learning. 652-658 - Sotiris Lamprinidis, Daniel Hardt, Dirk Hovy:
Predicting News Headline Popularity with Syntactic and Semantic Knowledge Using Multi-Task Learning. 659-664 - Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu:
Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. 665-670 - Dirk Hovy, Tommaso Fornaciari:
Improving Author Attribute Prediction by Retrofitting Linguistic Representations with Homophily. 671-677 - Jingyuan Li, Xiao Sun:
A Syntactically Constrained Bidirectional-Asynchronous Approach for Emotional Conversation Generation. 678-683 - Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang:
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. 684-689 - Prasanna Parthasarathi, Joelle Pineau:
Extending Neural Generative Conversational Model using External Knowledge Sources. 690-695 - Xiaolei Huang, Lixing Liu, Kate B. Carey, Joshua Woolley, Stefan Scherer, Brian Borsari:
Modeling Temporality of Human Intentions by Domain Adaptation. 696-701 - Liangchen Luo, Jingjing Xu, Junyang Lin, Qi Zeng, Xu Sun:
An Auto-Encoder Matching Model for Learning Utterance-Level Semantic Dependency in Dialogue Generation. 702-707 - Kangyan Zhou, Shrimai Prabhumoye, Alan W. Black:
A Dataset for Document Grounded Conversations. 708-713 - Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee:
Out-of-domain Detection based on Generative Adversarial Network. 714-718 - Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Listening Comprehension over Argumentative Content. 719-724 - Yang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang, Guodong Zhou:
Using Active Learning to Expand Training Data for Implicit Discourse Relation Recognition. 725-731 - Jan A. Botha, Manaal Faruqui, John Alex, Jason Baldridge, Dipanjan Das:
Learning To Split and Rephrase From Wikipedia Edit History. 732-737 - Elior Sulem, Omri Abend, Ari Rappoport:
BLEU is Not Suitable for the Evaluation of Text Simplification. 738-744 - Jiaxin Pei, Chenliang Li:
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information. 745-750 - Tszhang Guo, Shiyu Chang, Mo Yu, Kun Bai:
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. 751-756 - Luke Melas-Kyriazi, Alexander M. Rush, George Han:
Training for Diversity in Image Paragraph Captioning. 757-761 - Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong, Fang Chen:
A Graph-Theoretic Summary Evaluation for Rouge. 762-767 - Hardy, Andreas Vlachos:
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation. 768-773 - Ori Shapira, David Gabay, Hadar Ronen, Judit Bar-Ilan, Yael Amsterdamer, Ani Nenkova, Ido Dagan:
Evaluating Multiple System Summary Lengths: A Case Study. 774-778 - Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou:
Neural Latent Extractive Document Summarization. 779-784 - Fangfang Zhang, Jin-ge Yao, Rui Yan:
On the Abstractiveness of Neural Document Summarization. 785-790 - Yucheng Wang, Zhongyu Wei, Yaqian Zhou, Xuanjing Huang:
Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning. 791-797 - Sujith Ravi, Zornitsa Kozareva:
Self-Governing Neural Networks for On-Device Short Text Classification. 804-810 - Kazuya Shimura, Jiyi Li, Fumiyo Fukumoto:
HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization. 811-816 - Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths:
A Hierarchical Neural Attention-based Text Classifier. 817-823 - Jeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales, Kevin D. Seppi:
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier. 824-829 - Daniel Watson, Nasser Zalmout, Nizar Habash:
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models. 837-843 - Shraey Bhatia, Jey Han Lau, Timothy Baldwin:
Topic Intrusion for Automatic Topic Model Evaluation. 844-849 - Abhijith Athreya Mysore Gopinath, Shomir Wilson, Norman M. Sadeh:
Supervised and Unsupervised Methods for Robust Separation of Section Titles and Prose Text in Web Documents. 850-855 - Xinyi Wang, Hieu Pham, Zihang Dai, Graham Neubig:
SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation. 856-861 - Yunsu Kim, Jiahui Geng, Hermann Ney:
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder. 862-868 - Nishant Kambhatla, Anahita Mansouri Bigvand, Anoop Sarkar:
Decipherment of Substitution Ciphers with Neural Language Models. 869-874 - Joern Wuebker, Patrick Simianer, John DeNero:
Compact Personalized Models for Neural Machine Translation. 881-886 - Sujith Ravi, Zornitsa Kozareva:
Self-Governing Neural Networks for On-Device Short Text Classification. 887-893 - Joo-Kyung Kim, Young-Bum Kim:
Supervised Domain Enablement Attention for Personalized Domain Classification. 894-899 - Xingyi Song, Johann Petrak, Angus Roberts:
A Deep Neural Network Sentence Level Classification Method with Context Information. 900-904 - Vlad Niculae, André F. T. Martins, Claire Cardie:
Towards Dynamic Computation Graphs via Sparse Latent Structure. 905-911 - Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin:
Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. 918-924 - Shirley Anugrah Hayati, Raphael Olivier, Pravalika Avvaru, Pengcheng Yin, Anthony Tomasic, Graham Neubig:
Retrieval-Based Neural Code Generation. 925-930 - Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Vadim Sheinin:
SQL-to-Text Generation with Graph-to-Sequence Model. 931-936 - Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural-Davidsonian Semantic Proto-role Labeling. 944-955 - JinYeong Bak, Alice Oh:
Conversational Decision Making Model for Predicting King's Decision in the Annals of the Joseon Dynasty. 956-961 - Yizhong Wang, Sujian Li, Jingfeng Yang:
Toward Fast and Accurate Neural Discourse Segmentation. 962-967 - Spandana Gella, Mike Lewis, Marcus Rohrbach:
A Dataset for Telling the Stories of Social Media Videos. 968-974 - Diane Bouchacourt, Marco Baroni:
How agents see things: On visual representations in an emergent language game. 981-985 - Ningyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen, Wei Zhang, Huajun Chen:
Attention-Based Capsule Network with Dynamic Routing for Relation Extraction. 986-992 - Ji Xin, Hao Zhu, Xu Han, Zhiyuan Liu, Maosong Sun:
Put It Back: Entity Typing with Language Model Enhancement. 993-998 - John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern:
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. 999-1004 - Yiqing Zhang, Jianzhong Qi, Rui Zhang, Chuandong Yin:
PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages. 1005-1010 - Bailin Wang, Wei Lu, Yu Wang, Hongxia Jin:
A Neural Transition-based Model for Nested Mention Recognition. 1011-1017 - Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, Heyan Huang:
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. 1018-1023 - Shaobo Liu, Rui Cheng, Xiaoming Yu, Xueqi Cheng:
Exploiting Contextual Information via Dynamic Memory Network for Event Detection. 1030-1035 - Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, Devi Parikh:
Do explanations make VQA models more predictable to a human? 1036-1042 - Luong Hoang, Sam Wiseman, Alexander M. Rush:
Entity Tracking Improves Cloze-style Reading Comprehension. 1049-1055 - Darsh J. Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov:
Adversarial Domain Adaptation for Duplicate Question Detection. 1056-1063 - Lei Wang, Yan Wang, Deng Cai, Dongxiang Zhang, Xiaojiang Liu:
Translating Math Word Problem to Expression Tree. 1064-1069 - Massimo Nicosia, Alessandro Moschitti:
Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection. 1070-1076 - Ahmed Elgohary, Chen Zhao, Jordan L. Boyd-Graber:
A dataset and baselines for sequential open-domain question answering. 1077-1083 - Radu Tudor Ionescu, Andrei M. Butnaru:
Improving the results of string kernels in sentiment analysis and Arabic dialect identification by adapting them to your test set. 1084-1090 - Binxuan Huang, Kathleen M. Carley:
Parameterized Convolutional Neural Networks for Aspect Level Sentiment Classification. 1091-1096 - Jianfei Yu, Luís Marujo, Jing Jiang, Pradeep Karuturi, William Brendel:
Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network. 1097-1102 - Yi Zhang, Jingjing Xu, Pengcheng Yang, Xu Sun:
Learning Sentiment Memories for Sentiment Modification without Parallel Data. 1103-1108 - Martin Schmitt, Simon Steinheber, Konrad Schreiber, Benjamin Roth:
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks. 1109-1114 - Y. Alex Kolchinski, Christopher Potts:
Representing Social Media Users for Sarcasm Detection. 1115-1121 - Rohil Verma, Samuel Kim, David Walter:
Syntactical Analysis of the Weaknesses of Sentiment Analyzers. 1122-1127 - Sridhar Moorthy, Ruth Pogacar, Samin Khan, Yang Xu:
Is Nike female? Exploring the role of sound symbolism in predicting brand name gender. 1128-1132 - Nayeon Lee, Chien-Sheng Wu, Pascale Fung:
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging. 1133-1138 - Ryuji Kano, Yasuhide Miura, Motoki Taniguchi, Yan-Ying Chen, Francine Chen, Tomoko Ohkuma:
Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations. 1139-1145 - Masoud Rouhizadeh, Kokil Jaidka, Laura Smith, H. Andrew Schwartz, Anneke Buffone, Lyle H. Ungar:
Identifying Locus of Control in Social Media Language. 1146-1152 - Hamed Khanpour, Cornelia Caragea:
Fine-Grained Emotion Detection in Health-Related Online Posts. 1160-1166 - Salvatore Giorgi, Daniel Preotiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle H. Ungar, H. Andrew Schwartz:
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions. 1167-1172 - Jason Lee, Elman Mansimov, Kyunghyun Cho:
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement. 1173-1182 - Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. 1215-1225 - Zhengzhong Liu, Chenyan Xiong, Teruko Mitamura, Eduard H. Hovy:
Automatic Event Salience Identification. 1226-1236 - Artuur Leeuwenberg, Marie-Francine Moens:
Temporal Information Extraction by Predicting Relative Time-lines. 1237-1246 - Xiao Liu, Zhunchen Luo, Heyan Huang:
Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation. 1247-1256 - Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha Talukdar:
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. 1257-1266 - Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia:
Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms. 1267-1276 - Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. 1292-1302 - Daniel Fernández-González, Carlos Gómez-Rodríguez:
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing. 1303-1313 - Qing Li, Jianlong Fu, Dongfei Yu, Tao Mei, Jiebo Luo:
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions. 1338-1346 - Aishwarya Padmakumar, Peter Stone, Raymond J. Mooney:
Learning a Policy for Opportunistic Active Learning. 1347-1357 - Semih Yagcioglu, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis:
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes. 1358-1368 - Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg:
TVQA: Localized, Compositional Video Question Answering. 1369-1379 - Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, Bryan Russell:
Localizing Moments in Video with Temporal Language. 1380-1390 - Mohammad Taher Pilehvar, Dimitri Kartsaklis, Victor Prokhorov, Nigel Collier:
Card-660: A Reliable Evaluation Framework for Rare Word Representation Models. 1391-1401 - Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang:
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. 1402-1411 - Erik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych:
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations. 1412-1424 - Jingyuan Sun, Shaonan Wang, Chengqing Zong:
Memory, Show the Way: Memory Based Few Shot Word Representation Learning. 1435-1444 - Douwe Kiela, Changhan Wang, Kyunghyun Cho:
Dynamic Meta-Embeddings for Improved Sentence Representations. 1466-1477 - Melissa Ailem, Bowen Zhang, Aurélien Bellet, Pascal Denis, Fei Sha:
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. 1478-1487 - Murhaf Fares, Stephan Oepen, Erik Velldal:
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation. 1488-1498 - Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih:
Dissecting Contextual Word Embeddings: Architecture and Representation. 1499-1509 - Hongyu Gong, Jiaqi Mu, Suma Bhat, Pramod Viswanath:
Preposition Sense Disambiguation and Representation. 1510-1521 - Tom Bosc, Pascal Vincent:
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings. 1522-1532 - Gabriel Stanovsky, Mark Hopkins:
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources. 1533-1542 - Lizhen Liu, Xiao Hu, Wei Song, Ruiji Fu, Ting Liu, Guoping Hu:
Neural Multitask Learning for Simile Recognition. 1543-1553 - Yang Liu, Matt Gardner, Mirella Lapata:
Structured Alignment Networks for Matching Sentences. 1554-1564 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference. 1565-1575 - Jingjing Gong, Xipeng Qiu, Xinchi Chen, Dong Liang, Xuanjing Huang:
Convolutional Interaction Network for Natural Language Inference. 1576-1585 - Alexey Romanov, Chaitanya Shivade:
Lessons from Natural Language Inference in the Clinical Domain. 1586-1596 - Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. 1608-1618 - Jonathan Herzig, Jonathan Berant:
Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing. 1619-1629 - Hiroki Ouchi, Hiroyuki Shindo, Yuji Matsumoto:
A Span Selection Model for Semantic Role Labeling. 1630-1642 - Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Luke Zettlemoyer:
Mapping Language to Code in Programmatic Context. 1643-1652 - Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev:
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task. 1653-1663 - Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Cross-lingual Decompositional Semantic Parsing. 1664-1675 - Igor Labutov, Bishan Yang, Tom M. Mitchell:
Learning to Learn Semantic Parsers from Natural Language Supervision. 1676-1690 - Jesse Dunietz, Jaime G. Carbonell, Lori S. Levin:
DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers. 1691-1701 - Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan:
What It Takes to Achieve 100 Percent Condition Accuracy on WikiSQL. 1702-1711 - Haim Dubossarsky, Eitan Grossman, Daphna Weinshall:
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research. 1732-1740 - Yuval Pinter, Jacob Eisenstein:
Predicting Semantic Relations using Global Graph Properties. 1741-1751 - Anne Cocos, Veronica Wharton, Ellie Pavlick, Marianna Apidianaki, Chris Callison-Burch:
Learning Scalar Adjective Intensity from Paraphrases. 1752-1762 - Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui:
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. 1763-1775 - Yongzhen Wang, Xiaozhong Liu, Zheng Gao:
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism. 1776-1786 - Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang:
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling. 1787-1796 - Shashi Narayan, Shay B. Cohen, Mirella Lapata:
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization. 1797-1807 - Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher:
Improving Abstraction in Text Summarization. 1808-1817 - Chris Kedzie, Kathleen R. McKeown, Hal Daumé III:
Content Selection in Deep Learning Models of Summarization. 1818-1828 - Dinghan Shen, Xinyuan Zhang, Ricardo Henao, Lawrence Carin:
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment. 1829-1838 - Dinghan Shen, Martin Renqiang Min, Yitong Li, Lawrence Carin:
Learning Context-Aware Convolutional Filters for Text Processing. 1839-1848 - Ryan McDonald, George Brokos, Ion Androutsopoulos:
Deep Relevance Ranking using Enhanced Document-Query Interactions. 1849-1860 - Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha Talukdar:
AD3: Attentive Deep Document Dater. 1871-1880 - David Alvarez-Melis, Tommi S. Jaakkola:
Gromov-Wasserstein Alignment of Word Embedding Spaces. 1881-1890 - Hai Wang, Hoifung Poon:
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision. 1891-1902 - Yujia Bao, Shiyu Chang, Mo Yu, Regina Barzilay:
Deriving Machine Attention from Human Rationales. 1903-1913 - Kevin Clark, Minh-Thang Luong, Christopher D. Manning, Quoc V. Le:
Semi-Supervised Sequence Modeling with Cross-View Training. 1914-1925 - Silviu Paun, Jon Chamberlain, Udo Kruschwitz, Juntao Yu, Massimo Poesio:
A Probabilistic Annotation Model for Crowdsourcing Coreference. 1926-1937 - Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. 1949-1958 - Dimitri Kartsaklis, Mohammad Taher Pilehvar, Nigel Collier:
Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs. 1959-1970 - Xin Lv, Lei Hou, Juanzi Li, Zhiyuan Liu:
Differentiating Concepts and Instances for Knowledge Graph Embedding. 1971-1979 - Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. 1980-1990 - Shanshan Zhang, Lihong He, Slobodan Vucetic, Eduard C. Dragut:
Regular Expression Guided Entity Mention Mining from Noisy Web Data. 1991-2000 - Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha Talukdar:
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding. 2001-2011 - Bill Yuchen Lin, Wei Lu:
Neural Adaptation Layers for Cross-domain Named Entity Recognition. 2012-2022 - Hongliang Dai, Yangqiu Song, Liwei Qiu, Rijia Liu:
Entity Linking within a Social Media Platform: A Case Study on Yelp. 2023-2032 - Pinal Patel, Disha Davey, Vishal Panchal, Parth Pathak:
Annotation of a Large Clinical Entity Corpus. 2033-2042 - Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang:
Visual Supervision in Bootstrapped Information Extraction. 2043-2053 - Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. 2054-2064 - Ben Zhou, Daniel Khashabi, Chen-Tse Tsai, Dan Roth:
Zero-Shot Open Entity Typing as Type-Compatible Grounding. 2065-2076 - Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou:
Attention-Guided Answer Distillation for Machine Reading Comprehension. 2077-2086 - Marzieh Saeidi, Max Bartolo, Patrick Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. 2087-2097 - Sen Hu, Lei Zou, Xinbo Zhang:
A State-transition Framework to Answer Complex Questions over Knowledge Base. 2098-2108 - Jiahua Liu, Wan Wei, Maosong Sun, Hao Chen, Yantao Du, Dekang Lin:
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension. 2109-2118 - Mingming Sun, Xu Li, Ping Li:
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain. 2119-2130 - Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo:
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. 2131-2140 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
Multi-Granular Sequence Encoding via Dilated Compositional Units for Reading Comprehension. 2141-2151 - Nitish Gupta, Mike Lewis:
Neural Compositional Denotational Semantics for Question Answering. 2152-2161 - Kateryna Tymoshenko, Alessandro Moschitti:
Cross-Pair Text Representations for Answer Sentence Selection. 2162-2173 - Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer:
QuAC: Question Answering in Context. 2174-2184 - Kangqi Luo, Fengli Lin, Xusheng Luo, Kenny Q. Zhu:
Knowledge Base Question Answering via Encoding of Complex Query Graphs. 2185-2194 - Tianyi Liu, Xinsong Zhang, Wanhao Zhou, Weijia Jia:
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning. 2195-2204 - Yuhao Zhang, Peng Qi, Christopher D. Manning:
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. 2205-2215 - Jinhua Du, Jingguang Han, Andy Way, Dadong Wan:
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction. 2216-2225 - Linfeng Song, Yue Zhang, Zhiguo Wang, Daniel Gildea:
N-ary Relation Extraction using Graph-State LSTM. 2226-2235 - Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li:
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention. 2236-2245 - Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei Zhang, Hai Zhu, Huajun Chen:
Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding. 2246-2255 - Changzhi Sun, Yuanbin Wu, Man Lan, Shiliang Sun, Wenting Wang, Kuang-Chih Lee, Kewen Wu:
Extracting Entities and Relations with Joint Minimum Risk Training. 2256-2265 - Hoang-Quynh Le, Duy-Cat Can, Sinh T. Vu, Thanh Hai Dang, Mohammad Taher Pilehvar, Nigel Collier:
Large-scale Exploration of Neural Relation Classification Architectures. 2266-2277 - Dhivya Chinnappa, Eduardo Blanco:
Possessors Change Over Time: A Case Study with Artworks. 2278-2287 - Todd Shore, Gabriel Skantze:
Using lexical alignment and referring ability to address data sparsity in situated dialog reference resolution. 2288-2297 - Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara:
Subgoal Discovery for Hierarchical Dialogue Policy Learning. 2298-2309 - Iryna Haponchyk, Antonio Uva, Seunghak Yu, Olga Uryupina, Alessandro Moschitti:
Supervised Clustering of Questions into Intents for Dialog System Applications. 2310-2321 - Nikita Moghe, Siddhartha Arora, Suman Banerjee, Mitesh M. Khapra:
Towards Exploiting Background Knowledge for Building Conversation Systems. 2322-2332 - He He, Derek Chen, Anusha Balakrishnan, Percy Liang:
Decoupling Strategy and Generation in Negotiation Dialogues. 2333-2343 - Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy:
Large-scale Cloze Test Dataset Created by Teachers. 2344-2356 - Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng:
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. 2357-2368 - Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. 2369-2380 - Todor Mihaylov, Peter Clark, Tushar Khot, Ashish Sabharwal:
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. 2381-2391 - Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Tom Griffiths:
Evaluating Theory of Mind in Question Answering. 2392-2400 - Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si:
A Unified Syntax-aware Framework for Semantic Role Labeling. 2401-2411 - Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu:
An AMR Aligner Tuned by Transition-based Parser. 2422-2430 - Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih:
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. 2442-2452 - Jonathan Mallinson, Rico Sennrich, Mirella Lapata:
Sentence Compression for Arbitrary Languages via Multilingual Pivoting. 2453-2464 - Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu:
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. 2465-2474 - Alexis Conneau, Ruty Rinott, Guillaume Lample, Adina Williams, Samuel R. Bowman, Holger Schwenk, Veselin Stoyanov:
XNLI: Evaluating Cross-lingual Sentence Representations. 2475-2485 - Shyam Upadhyay, Nitish Gupta, Dan Roth:
Joint Multilingual Supervision for Cross-lingual Entity Linking. 2486-2495 - Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. 2496-2506 - Yufeng Diao, Hongfei Lin, Di Wu, Liang Yang, Kan Xu, Zhihao Yang, Jian Wang, Shaowu Zhang, Bo Xu, Dongyu Zhang:
WECA：A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition. 2507-2516 - Dingmin Wang, Yan Song, Jing Li, Jialong Han, Haisong Zhang:
A Hybrid Approach to Automatic Corpus Generation for Chinese Spelling Check. 2517-2527 - Shamil Chollampatt, Hwee Tou Ng:
Neural Quality Estimation of Grammatical Error Correction. 2528-2539 - Tao Gui, Qi Zhang, Jingjing Gong, Minlong Peng, Di Liang, Keyu Ding, Xuanjing Huang:
Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging. 2540-2549 - Amrith Krishna, Bishal Santra, Sasi Prasanth Bandaru, Gaurav Sahu, Vishnu Dutt Sharma, Pavankumar Satuluri, Pawan Goyal:
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. 2550-2561 - Ali El-Kahky, Kellie Webster, Daniel Andor, Emily Pitler:
A Challenge Set and Methods for Noun-Verb Ambiguity. 2562-2572 - Clara Vania, Andreas Grivas, Adam Lopez:
What do character-level models learn about morphology? The case of dependency parsing. 2573-2583 - Yingwei Xin, Ethan Hart, Vibhuti Mahajan, Jean-David Ruvini:
Learning Better Internal Structure of Words for Sequence Labeling. 2584-2593 - Devamanyu Hazarika, Soujanya Poria, Rada Mihalcea, Erik Cambria, Roger Zimmermann:
ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection. 2594-2604 - Ryota Hinami, Shin'ichi Satoh:
Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation. 2605-2615 - Shaohua Yang, Qiaozi Gao, Sari Saba-Sadiya, Joyce Yue Chai:
Commonsense Justification for Action Explanation. 2627-2637 - Eric Chu, Prashanth Vijayaraghavan, Deb Roy:
Learning Personas from Dialogue with Attentive Memory Networks. 2638-2646 - Candace Ross, Andrei Barbu, Yevgeni Berzak, Battushig Myanganbayar, Boris Katz:
Grounding language acquisition by training semantic parsers using captioned videos. 2647-2656 - Xiaoxue Zang, Ashwini Pokle, Marynel Vázquez, Kevin Chen, Juan Carlos Niebles, Alvaro Soto, Silvio Savarese:
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation. 2657-2666 - Dipendra Kumar Misra, Andrew Bennett, Valts Blukis, Eyvind Niklasson, Max Shatkhin, Yoav Artzi:
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. 2667-2678 - Cory Shain, William Schuler:
Deconvolutional time series regression: A technique for modeling temporally diffuse effects. 2679-2689 - Dominique Brunato, Lorenzo De Mattei, Felice Dell'Orletta, Benedetta Iavarone, Giulia Venturi:
Is this Sentence Difficult? Do you Agree? 2690-2699 - Rivka Malca, Roi Reichart:
Neural Transition Based Parsing of Web Queries: An Entity Based Approach. 2700-2710 - Aaron Smith, Miryam de Lhoneux, Sara Stymne, Joakim Nivre:
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing. 2711-2720 - Lifeng Jin, Finale Doshi-Velez, Timothy A. Miller, William Schuler, Lane Schwartz:
Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction. 2721-2731 - Marco Cognetta, Yo-Sub Han, Soon Chan Kwon:
Incremental Computation of Infix Probabilities for Probabilistic Finite Automata. 2732-2741 - Richong Zhang, Zhiyuan Hu, Hongyu Guo, Yongyi Mao:
Syntax Encoding with Application in Authorship Attribution. 2742-2753 - Oliver Hellwig, Sebastian Nehrdich:
Sanskrit Word Segmentation Using Character-level Recurrent and Convolutional Neural Networks. 2754-2763 - Wayne Xiong, Lingfeng Wu, Jun Zhang, Andreas Stolcke:
Session-level Language Modeling for Conversational Speech. 2764-2768 - Yahui Liu, Wei Bi, Jun Gao, Xiaojiang Liu, Jian Yao, Shuming Shi:
Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method. 2769-2774 - Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, Antoine Bordes:
Training Millions of Personalized Dialogue Agents. 2775-2779 - Sonal Gupta, Rushin Shah, Mrinal Mohit, Anuj Kumar, Mike Lewis:
Semantic Parsing for Task Oriented Dialog using Hierarchical Representations. 2787-2792 - Sweta Karlekar, Mohit Bansal:
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories. 2805-2811 - Yiqing Hua, Cristian Danescu-Niculescu-Mizil, Dario Taraborelli, Nithum Thain, Jeffery Sorensen, Lucas Dixon:
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community. 2818-2823 - Nathan Greenberg, Trapit Bansal, Patrick Verga, Andrew McCallum:
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. 2824-2829 - Giannis Bekoulis, Johannes Deleu, Thomas Demeester, Chris Develder:
Adversarial training for multi-context joint entity and relation extraction. 2830-2836 - Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace:
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. 2837-2842 - Mohammad Golam Sohrab, Makoto Miwa:
Deep Exhaustive Model for Nested Named Entity Recognition. 2843-2849 - Minghao Wu, Fei Liu, Trevor Cohn:
Evaluating the Utility of Hand-crafted Features in Sequence Labeling. 2850-2856 - Wenhui Wang, Baobao Chang, Mairgup Mansur:
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. 2857-2863 - Mathieu Dehouck, Pascal Denis:
A Framework for Understanding the Role of Morphology in Universal Dependency Parsing. 2864-2870 - Arianna Bisazza, Clara Tump:
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation. 2871-2876 - Peter Makarov, Simon Clematide:
Imitation Learning for Neural Morphological String Transduction. 2877-2882 - Miikka Silfverberg, Mans Hulden:
An Encoder-Decoder Approach to the Paradigm Cell Filling Problem. 2883-2889 - Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang:
Generating Natural Language Adversarial Examples. 2890-2896 - Jian Li, Zhaopeng Tu, Baosong Yang, Michael R. Lyu, Tong Zhang:
Multi-Head Attention with Disagreement Regularization. 2897-2903 - Aditya Siddhant, Zachary C. Lipton:
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study. 2904-2909 - Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov:
Bayesian Compression for Natural Language Processing. 2910-2915 - Minh Nguyen, Hoang Gia Ngo, Nancy Chen:
Multimodal neural pronunciation modeling for spoken languages with logographic origin. 2916-2922 - Thanapon Noraset, Doug Downey, Lidong Bing:
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. 2930-2935 - Kristina Gulordava, Laura Aina, Gemma Boleda:
How to represent a word and predict it, too: improving tied architectures for language modelling. 2936-2941 - Nicolas Ford, Daniel Duckworth, Mohammad Norouzi, George E. Dahl:
The Importance of Generation Order in Language Modeling. 2942-2946 - Lesly Miculicich Werlen, Dhananjay Ram, Nikolaos Pappas, James Henderson:
Document-Level Neural Machine Translation with Hierarchical Attention Networks. 2947-2954 - Yining Wang, Jiajun Zhang, Feifei Zhai, Jingfang Xu, Chengqing Zong:
Three Strategies to Improve One-to-Many Multilingual Translation. 2955-2960 - Minh Quang Pham, Josep Maria Crego, Jean Senellart, François Yvon:
Fixing Translation Divergences in Parallel Corpora for Neural MT. 2967-2973 - Armand Joulin, Piotr Bojanowski, Tomas Mikolov, Hervé Jégou, Edouard Grave:
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion. 2979-2984 - Junyang Lin, Xu Sun, Xuancheng Ren, Muyu Li, Qi Su:
Learning When to Concentrate or Divert Attention: Self-Adaptive Attention Temperature for Neural Machine Translation. 2985-2990 - Nikolay Bogoychev, Kenneth Heafield, Alham Fikri Aji, Marcin Junczys-Dowmunt:
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation. 2991-2996 - Longyue Wang, Zhaopeng Tu, Andy Way, Qun Liu:
Learning to Jointly Translate and Predict Dropped Pronouns with a Shared Reconstruction Mechanism. 2997-3002 - Parnia Bahar, Christopher Brix, Hermann Ney:
Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation. 3009-3015 - Jindrich Libovický, Jindrich Helcl:
End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification. 3016-3021 - Ashkan Alinejad, Maryam Siahbani, Anoop Sarkar:
Prediction Improves Simultaneous Neural Machine Translation. 3022-3027 - Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu:
Training Deeper Neural Machine Translation Models with Transparent Attention. 3028-3033 - Thuy-Trang Vu, Gholamreza Haffari:
Automatic Post-Editing of Machine Translation: A Neural Programmer-Interpreter Approach. 3048-3053 - Yilin Yang, Liang Huang, Mingbo Ma:
Breaking the Beam Search Curse: A Study of (Re-)Scoring Methods and Stopping Criteria for Neural Machine Translation. 3054-3059 - Yadollah Yaghoobzadeh, Hinrich Schütze:
Multi-View Learning: Multilingual and Multi-Representation Entity Typing. 3060-3066 - Adithya Pratapa, Monojit Choudhury, Sunayana Sitaram:
Word Embeddings for Code-Mixed Language Processing. 3067-3072 - Xiaodong Yu, Stephen D. Mayhew, Mark Sammons, Dan Roth:
On the Strength of Character Language Models for Multilingual Named Entity Recognition. 3073-3077 - Saurabh Garg, Tanmay Parekh, Preethi Jyothi:
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining. 3078-3083 - Kelsey Ball, Dan Garrette:
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification. 3084-3089 - Congying Xia, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu:
Zero-shot User Intent Detection via Capsule Neural Networks. 3090-3099 - Di Jin, Peter Szolovits:
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. 3100-3109 - Min Yang, Wei Zhao, Jianbo Ye, Zeyang Lei, Zhou Zhao, Soufei Zhang:
Investigating Capsule Networks with Dynamic Routing for Text Classification. 3110-3119 - Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. 3120-3131 - Anthony Rios, Ramakanth Kavuluru:
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. 3132-3142 - Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Wenhao Li:
Automatic Poetry Generation with Mutual Reinforcement Learning. 3143-3153 - Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang:
Variational Autoregressive Decoder for Neural Response Generation. 3154-3163 - Sanqiang Zhao, Rui Meng, Daqing He, Andi Saptono, Bambang Parmanto:
Integrating Transformer and Paraphrase Rules for Sentence Simplification. 3164-3173 - Sam Wiseman, Stuart M. Shieber, Alexander M. Rush:
Learning Neural Templates for Text Generation. 3174-3187 - Renjie Zheng, Mingbo Ma, Liang Huang:
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation. 3188-3197 - Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He:
Knowledge Graph Embedding with Hierarchical Relation Structure. 3198-3207 - Pouya Pezeshkpour, Liyan Chen, Sameer Singh:
Embedding Multimodal Relational Data for Knowledge Base Completion. 3208-3218 - Yi Luan, Luheng He, Mari Ostendorf, Hannaneh Hajishirzi:
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction. 3219-3232 - Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen:
Playing 20 Question Game with Policy-Based Reinforcement Learning. 3233-3242 - Xi Victoria Lin, Richard Socher, Caiming Xiong:
Multi-Hop Knowledge Graph Reasoning with Reward Shaping. 3243-3253 - Katharina Kann, Hinrich Schütze:
Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting. 3254-3264 - Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, Thomas Demeester:
Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? 3275-3284 - Aditi Chaudhary, Chunting Zhou, Lori S. Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell:
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations. 3285-3295 - Enrica Troiano, Carlo Strapparava, Gözde Özbal, Serra Sinem Tekiroglu:
A Computational Exploration of Exaggeration. 3296-3304 - Zeyu Dai, Ruihong Huang:
Building Context-aware Clause Representations for Situation Entity Type Classification. 3305-3315 - Yeon Seonwoo, Alice Oh, Sungjoon Park:
Hierarchical Dirichlet Gaussian Marked Hawkes Process for Narrative Reconstruction in Continuous Time Domain. 3316-3325 - Anne Lauscher, Goran Glavas, Simone Paolo Ponzetto, Kai Eckert:
Investigating the Role of Argumentation in the Rhetorical Analysis of Scientific Publications with Neural Multi-Task Learning Models. 3326-3338 - Yuchen Zhang, Nianwen Xue:
Neural Ranking Models for Temporal Dependency Structure Parsing. 3339-3349 - Youngseo Son, Nipun Bayas, H. Andrew Schwartz:
Causal Explanation Analysis on Social Media. 3350-3359 - Michal Lukasik, Richard Zens:
Content Explorer: Recommending Novel Entities for a Document Writer. 3371-3380 - Suraj Maharjan, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
A Genre-Aware Attention Model to Improve the Likability Prediction of Books. 3381-3391 - Hou Pong Chan, Irwin King:
Thread Popularity Prediction and Tracking with a Permutation-invariant Model. 3392-3401 - Navonil Majumder, Soujanya Poria, Alexander F. Gelbukh, Md. Shad Akhtar, Erik Cambria, Asif Ekbal:
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis. 3402-3411 - Zhe Zhang, Munindar P. Singh:
Limbic: Author-Based Sentiment Aspect Modeling Regularized with Word Embeddings and Discourse Relations. 3412-3422 - Feifan Fan, Yansong Feng, Dongyan Zhao:
Multi-grained Attention Network for Aspect-Level Sentiment Classification. 3433-3442 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Jian Su:
Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification. 3443-3453 - Deepanway Ghosal, Md. Shad Akhtar, Dushyant Chauhan, Soujanya Poria, Asif Ekbal, Pushpak Bhattacharyya:
Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. 3454-3466 - Ruidan He, Wee Sun Lee, Hwee Tou Ng, Daniel Dahlmeier:
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. 3467-3476 - Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Q. Zhu:
ExtRA: Extracting Prominent Review Aspects from Customer Feedback. 3477-3486 - Weiming Wen, Songwen Su, Zhou Yu:
Cross-Lingual Cross-Platform Rumor Verification Pivoting on Multimedia Content. 3487-3496 - Samuel Carton, Qiaozhu Mei, Paul Resnick:
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. 3497-3507 - Logan Lebanoff, Fei Liu:
Automatic Detection of Vague Words and Sentences in Privacy Policies. 3508-3517 - Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang:
Multi-view Models for Political Ideology Detection of News Articles. 3518-3527 - Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James R. Glass, Preslav Nakov:
Predicting Factuality of Reporting and Bias of News Media Sources. 3528-3539 - Haoxi Zhong, Zhipeng Guo, Cunchao Tu, Chaojun Xiao, Zhiyuan Liu, Maosong Sun:
Legal Judgment Prediction via Topological Learning. 3540-3549 - Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Hierarchical CVAE for Fine-Grained Hate Speech Classification. 3550-3559 - Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi, Niranjan Balasubramanian:
Residualized Factor Adaptation for Community Social Media Prediction Tasks. 3560-3569 - Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov:
Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political Strategies. 3570-3580 - Bennett Kleinberg, Maximilian Mozes, Isabelle van der Vegt:
Identifying the narrative styles of YouTube's vloggers. 3581-3590 - Gili Goldin, Ella Rabinovich, Shuly Wintner:
Native Language Identification with User Generated Content. 3591-3601 - Lijun Wu, Xu Tan, Di He, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. 3602-3611 - Lijun Wu, Fei Tian, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
A Study of Reinforcement Learning for Neural Machine Translation. 3612-3621 - Jiatao Gu, Yong Wang, Yun Chen, Victor O. K. Li, Kyunghyun Cho:
Meta-Learning for Low-Resource Neural Machine Translation. 3622-3631 - Mingyang Zhou, Runxiang Cheng, Yong Jae Lee, Zhou Yu:
A Visual Attention Grounding Neural Model for Multimodal Machine Translation. 3643-3653 - Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Sentiment Classification towards Question-Answering with Hierarchical Matching Network. 3654-3663 - Christian Stab, Tristan Miller, Benjamin Schiller, Pranav Rai, Iryna Gurevych:
Cross-topic Argument Mining from Heterogeneous Sources. 3664-3674 - Stefanos Angelidis, Mirella Lapata:
Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised. 3675-3686 - Elvis Saravia, Hsien-Chi Toby Liu, Yen-Hao Huang, Junlin Wu, Yi-Shin Chen:
CARER: Contextualized Affect Representations for Emotion Recognition. 3687-3697 - Zhuang Ma, Michael Collins:
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency. 3698-3707 - Semih Yavuz, Chung-Cheng Chiu, Patrick Nguyen, Yonghui Wu:
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization. 3708-3718 - Shi Feng, Eric Wallace, Alvin Grissom II, Mohit Iyyer, Pedro Rodriguez, Jordan L. Boyd-Graber:
Pathologies of Neural Models Make Interpretation Difficult. 3719-3728 - Wei Wu, Houfeng Wang, Tianyu Liu, Shuming Ma:
Phrase-level Self-Attention Networks for Universal Sentence Encoding. 3729-3738 - Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. 3739-3748 - Mounica Maddela, Wei Xu:
A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification. 3749-3760 - Guanghui Qin, Jin-Ge Yao, Xuening Wang, Jinpeng Wang, Chin-Yew Lin:
Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data. 3761-3771 - Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith:
Syntactic Scaffolds for Semantic Structures. 3772-3782 - Noah Weber, Leena Shekhar, Niranjan Balasubramanian, Nate Chambers:
Hierarchical Quantized Representations for Script Generation. 3783-3792 - Zi Lin, Yuguang Duan, Yuanyuan Zhao, Weiwei Sun, Xiaojun Wan:
Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. 3793-3802 - Weikang Wang, Jiajun Zhang, Han Zhang, Mei-Yuh Hwang, Chengqing Zong, Zhifei Li:
A Teacher-Student Framework for Maintainable Dialog Manager. 3803-3812 - Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen:
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. 3813-3823 - Changliang Li, Liang Li, Ji Qi:
A Self-Attentive Model with Gate Mechanism for Spoken Language Understanding. 3824-3833 - Janarthanan Rajendran, Jatin Ganhotra, Satinder Singh, Lazaros Polymenakos:
Learning End-to-End Goal-Oriented Dialog with Multiple Answers. 3834-3843 - Wei Wei, Quoc Le, Andrew Dai, Jia Li:
AirDialogue: An Environment for Goal-Oriented Dialogue Research. 3844-3854 - Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang:
QuaSE: Sequence Editing under Quantifiable Guidance. 3855-3864 - Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. 3865-3878 - Feng Nie, Jinpeng Wang, Jin-Ge Yao, Rong Pan, Chin-Yew Lin:
Operation-guided Neural Networks for High Fidelity Data-To-Text Generation. 3879-3889 - Juntao Li, Yan Song, Haisong Zhang, Dongmin Chen, Shuming Shi, Dongyan Zhao, Rui Yan:
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training. 3890-3900 - Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, Qifa Ke:
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks. 3901-3910 - Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. 3911-3921 - Markus Freitag, Scott Roy:
Unsupervised Natural Language Generation with Denoising Autoencoders. 3922-3929 - Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, Shi Wang:
Answer-focused and Position-aware Neural Question Generation. 3930-3939 - Jingjing Xu, Xuancheng Ren, Junyang Lin, Xu Sun:
Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation. 3940-3949 - Preksha Nema, Mitesh M. Khapra:
Towards a Better Metric for Evaluating Question Generation Systems. 3950-3959 - Cheng Yang, Maosong Sun, Xiaoyuan Yi, Wenhao Li:
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement. 3960-3969 - Ashutosh Baheti, Alan Ritter, Jiwei Li, Bill Dolan:
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. 3970-3980 - Xinnuo Xu, Ondrej Dusek, Ioannis Konstas, Verena Rieser:
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity. 3981-3991 - Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, Clare R. Voss:
Incorporating Background Knowledge into Video Description Generation. 3992-4001 - Badri Narayana Patro, Sandeep Kumar, Vinod Kumar Kurmi, Vinay P. Namboodiri:
Multimodal Differential Network for Visual Question Generation. 4002-4012 - Di Lu, Spencer Whitehead, Lifu Huang, Heng Ji, Shih-Fu Chang:
Entity-aware Image Caption Generation. 4013-4023 - Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Learning to Describe Differences Between Pairs of Similar Images. 4024-4034 - Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, Trevor Darrell, Kate Saenko:
Object Hallucination in Image Captioning. 4035-4045 - Jingqiang Chen, Hai Zhuge:
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN. 4046-4056 - Jun Chen, Xiaoming Zhang, Yu Wu, Zhao Yan, Zhoujun Li:
Keyphrase Generation with Correlation Constraints. 4057-4066 - Wei Li, Xinyan Xiao, Yajuan Lyu, Yuanzhuo Wang:
Improving Neural Abstractive Document Summarization with Structural Regularization. 4078-4087 - Xiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao, Rui Yan:
Iterative Document Representation Learning Towards Summarization with Polishing. 4088-4097 - Yizhu Liu, Zhiyi Luo, Kenny Q. Zhu:
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network. 4110-4119 - Yang Gao, Christian M. Meyer, Iryna Gurevych:
APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning. 4120-4130 - Logan Lebanoff, Kaiqiang Song, Fei Liu:
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization. 4131-4141 - Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, Chengqing Zong:
MSMO: Multimodal Summarization with Multimodal Output. 4154-4164 - Tsutomu Hirao, Hidetaka Kamigaito, Masaaki Nagata:
Automatic Pyramid Evaluation Exploiting EDU-based Extractive Reference Summaries. 4177-4186 - Yau-Shian Wang, Hung-yi Lee:
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks. 4187-4195 - Shafiq R. Joty, Lluís Màrquez, Preslav Nakov:
Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings. 4196-4207 - Saku Sugawara, Kentaro Inui, Satoshi Sekine, Akiko Aizawa:
What Makes Reading Comprehension Questions Easier? 4208-4219 - Lisa Bauer, Yicheng Wang, Mohit Bansal:
Commonsense for Generative Multi-Hop Question Answering Tasks. 4220-4230 - Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen:
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. 4231-4242 - Souvik Kundu, Hwee Tou Ng:
A Nil-Aware Answer Extraction Framework for Question Answering. 4243-4252 - Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang:
Exploiting Deep Representations for Neural Machine Translation. 4253-4262 - Gongbo Tang, Mathias Müller, Annette Rios, Rico Sennrich:
Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures. 4263-4272 - Biao Zhang, Deyi Xiong, Jinsong Su, Qian Lin, Huiji Zhang:
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. 4273-4283 - Wen Zhang, Liang Huang, Yang Feng, Lei Shen, Qun Liu:
Speeding Up Neural Machine Translation Decoding by Cube Pruning. 4284-4294 - Colin Cherry, George Foster, Ankur Bapna, Orhan Firat, Wolfgang Macherey:
Revisiting Character-Based Neural Machine Translation with Capacity and Compression. 4295-4305 - Jingjing Xu, Xuancheng Ren, Yi Zhang, Qi Zeng, Xiaoyan Cai, Xu Sun:
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation. 4306-4315 - Xiaoyu Shen, Hui Su, Wenjie Li, Dietrich Klakow:
Nexus Network: Connecting the Preceding and the Following in Dialogue Generation. 4316-4327 - Mohsen Mesgar, Michael Strube:
A Neural Local Coherence Model for Text Quality Assessment. 4328-4339 - Baiyun Cui, Yingming Li, Ming Chen, Zhongfei Zhang:
Deep Attentive Sentence Ordering Network. 4340-4349 - Ieva Staliunaite, Hannah Rohde, Bonnie L. Webber, Annie Louis:
Getting to "Hearer-old": Charting Referring Expressions Across Time. 4350-4359 - Ian Stewart, Jacob Eisenstein:
Making "fetch" happen: The influence of social and linguistic context on nonstandard word growth and decline. 4360-4370 - Yugo Murawaki:
Analyzing Correlated Evolution of Multiple Features Using Latent Representations. 4371-4382 - Dirk Hovy, Christoph Purschke:
Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting. 4383-4394 - Farzana Rashid, Eduardo Blanco:
Characterizing Interactions and Relationships between People. 4395-4404 - Eric Holgate, Isabel Cachola, Daniel Preotiuc-Pietro, Junyi Jessy Li:
Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions. 4405-4414 - Steffen Eger, Paul Youssef, Iryna Gurevych:
Is it Time to Swish? Comparing Deep Learning Activation Functions Across NLP tasks. 4415-4424 - Shijie Wu, Pamela Shapiro, Ryan Cotterell:
Hard Non-Monotonic Attention for Character-Level Transduction. 4425-4438 - Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang:
Modeling Localness for Self-Attention Networks. 4449-4458 - Anoop R. Katti, Christian Reisswig, Cordula Guder, Sebastian Brarda, Steffen Bickel, Johannes Höhne, Jean Baptiste Faddoul:
Chargrid: Towards Understanding 2D Documents. 4459-4469 - Tao Lei, Yu Zhang, Sida I. Wang, Hui Dai, Yoav Artzi:
Simple Recurrent Units for Highly Parallelizable Recurrence. 4470-4481 - Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu:
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. 4482-4491 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences. 4492-4502 - Minghua Zhang, Yunfang Wu, Weikang Li, Wei Li:
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. 4514-4523 - Lingfei Wu, Ian En-Hsu Yen, Kun Xu, Fangli Xu, Avinash Balakrishnan, Pin-Yu Chen, Pradeep Ravikumar, Michael J. Witbrock:
Word Mover's Embedding: From Word2Vec to Document Embedding. 4524-4534 - Sebastião Miranda, Arturs Znotins, Shay B. Cohen, Guntis Barzdins:
Multilingual Clustering of Streaming News. 4535-4544 - Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Multi-Task Label Embedding for Text Classification. 4545-4553 - Junyang Lin, Qi Su, Pengcheng Yang, Shuming Ma, Xu Sun:
Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification. 4554-4564 - Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin:
MCapsNet: Capsule Network for Text with Multi-Task Learning. 4565-4574 - Katherine A. Keith, Brendan O'Connor:
Uncertainty-aware generative models for inferring document class prevalence. 4575-4585 - Zach Wood-Doughty, Ilya Shpitser, Mark Dredze:
Challenges of Using Text Classifiers for Causal Inference. 4586-4598 - Sho Takase, Jun Suzuki, Masaaki Nagata:
Direct Output Connection for a High-Rank Language Model. 4599-4609 - Paria Jamshid Lou, Peter Anderson, Mark Johnson:
Disfluency Detection using Auto-Correlational Neural Networks. 4610-4619 - Sachin Mehta, Rik Koncel-Kedziorski, Mohammad Rastegari, Hannaneh Hajishirzi:
Pyramidal Recurrent Unit for Language Modeling. 4620-4630 - Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Language Modeling with Sparse Product of Sememe Experts. 4642-4651 - Minghui Huang, Yanghui Rao, Yuwei Liu, Haoran Xie, Fu Lee Wang:
Siamese Network-Based Supervised Topic Modeling. 4652-4662 - Qile Zhu, Zheng Feng, Xiaolin Li:
GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model. 4663-4672 - Akshay Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick:
Modeling Online Discourse with Coupled Distributed Topics. 4673-4682 - Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace:
Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. 4683-4693 - Jiang Guo, Darsh J. Shah, Regina Barzilay:
Multi-Source Domain Adaptation with Mixture of Experts. 4694-4703 - John Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu:
Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study. 4711-4716 - Aaron Steven White, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Lexicosyntactic inference in neural models. 4717-4724 - Sedtawut Watcharawittayakul, Mingbin Xu, Hui Jiang:
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models. 4725-4730 - Ke M. Tran, Arianna Bisazza, Christof Monz:
The importance of Being Recurrent for Modeling Hierarchical Structure. 4731-4736 - Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. 4743-4751 - Xiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang:
A Co-attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness. 4752-4757 - Sven Buechel, Anneke Buffone, Barry Slaff, Lyle H. Ungar, João Sedoc:
Modeling Empathy and Distress in Reaction to News Stories. 4758-4765 - Francesco Barbieri, Luis Espinosa Anke, José Camacho-Collados, Steven Schockaert, Horacio Saggion:
Interpretable Emoji Prediction via Label-Wise Attention LSTMs. 4766-4771 - Xinyi Wang, Hieu Pham, Pengcheng Yin, Graham Neubig:
A Tree-based Decoder for Neural Machine Translation. 4772-4777 - Chenze Shao, Xilin Chen, Yang Feng:
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. 4778-4784 - Zhisong Zhang, Rui Wang, Masao Utiyama, Eiichiro Sumita, Hai Zhao:
Exploring Recombination for Efficient Decoding of Neural Machine Translation. 4785-4790 - Samuel Läubli, Rico Sennrich, Martin Volk:
Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation. 4791-4796 - Liane Guillou, Christian Hardmeier:
Automatic Reference-Based Evaluation of Pronoun Translation Misses the Point. 4797-4802 - Xu Han, Hao Zhu, Pengfei Yu, Ziyun Wang, Yuan Yao, Zhiyuan Liu, Maosong Sun:
FewRel: A Large-Scale Supervised Few-shot Relation Classification Dataset with State-of-the-Art Evaluation. 4803-4809 - Ana Gonzalez, Isabelle Augenstein, Anders Søgaard:
A strong baseline for question relevancy ranking. 4810-4815 - Alberto García-Durán, Sebastijan Dumancic, Mathias Niepert:
Learning Sequence Encoders for Temporal Knowledge Graph Completion. 4816-4821 - Weiyi Lu, Thien Huu Nguyen:
Similar but not the Same - Word Sense Disambiguation Improves Event Detection via Neural Representation Matching. 4822-4828 - Hongyin Luo, Jim Glass:
Learning Word Representations with Cross-Sentence Dependencyfor End-to-End Co-reference Resolution. 4829-4833 - Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-de Lin:
Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings. 4834-4839 - Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang:
Learning Gender-Neutral Word Embeddings. 4847-4853 - Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim:
Learning Concept Abstractness Using Weak Supervision. 4854-4859 - Jamie Kiros, William Chan:
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data. 4868-4874 - Olga Kovaleva, Anna Rumshisky, Alexey Romanov:
Similarity-Based Reconstruction Loss for Meaning Representation. 4875-4880 - Mostafa Abdou, Artur Kulmizev, Vinit Ravishankar, Lasha Abzianidze, Johan Bos:
What can we learn from Semantic Tagging? 4881-4889 - Rujun Han, Michael Gill, Arthur Spirling, Kyunghyun Cho:
Conditional Word Embedding and Hypothesis Testing via Bayes-by-Backprop. 4890-4895 - Victoria Yaneva, Le An Ha, Richard Evans, Ruslan Mitkov:
Classifying Referential and Non-referential It Using Gaze. 4896-4901 - Ji Ma, Kuzman Ganchev, David Weiss:
State-of-the-art Chinese Word Segmentation with Bi-LSTMs. 4902-4908 - Rahul Aralikatte, Neelamadhav Gantayat, Naveen Panwar, Anush Sankaran, Senthil Mani:
Sanskrit Sandhi Splitting using seq2(seq)2. 4909-4914 - Zhiqing Sun, Zhi-Hong Deng:
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling. 4915-4920 - Daniel Kondratyuk, Tomás Gavenciak, Milan Straka, Jan Hajic:
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs. 4921-4928 - Brendan Shillingford, Oiwi Parker Jones:
Recovering Missing Characters in Old Hawaiian Writing. 4929-4934 - Natalie Schluter, Daniel Varab:
When data permutations are pathological: the case of neural natural language inference. 4935-4939 - Dongyeop Kang, Tushar Khot, Ashish Sabharwal, Peter Clark:
Bridging Knowledge Gaps in Neural Entailment via Symbolic Models. 4940-4945 - Jing Chen, Qingcai Chen, Xin Liu, Haijun Yang, Daohe Lu, Buzhou Tang:
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification. 4946-4951 - Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli:
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. 4952-4957 - Sanket Vaibhav Mehta, Jay Yoon Lee, Jaime G. Carbonell:
Towards Semi-Supervised Learning for Deep Semantic Role Labeling. 4958-4963 - James Ferguson, Janara Christensen, Edward Li, Edgar Gonzàlez:
Identifying Domain Adjacent Instances for Semantic Parsers. 4964-4969 - Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang:
Mapping natural language commands to web elements. 4970-4976 - Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel:
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection. 4977-4983 - Rob van der Goot, Gertjan van Noord:
Modeling Input Uncertainty in Neural Network Dependency Parsing. 4984-4991 - Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Søgaard:
Parameter sharing between dependency parsers for related languages. 4992-4997 - Phu Mon Htut, Kyunghyun Cho, Samuel R. Bowman:
Grammar Induction with Neural Language Models: An Unusual Replication. 4998-5003 - Gözde Gül Sahin, Mark Steedman:
Data Augmentation via Dependency Tree Morphing for Low-Resource Languages. 5004-5009 - Divyansh Kaushik, Zachary C. Lipton:
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks. 5010-5015 - Pawel Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gasic:
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling. 5016-5026 - Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum:
Linguistically-Informed Self-Attention for Semantic Role Labeling. 5027-5038 - Guillaume Lample, Myle Ott, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato:
Phrase-Based & Neural Unsupervised Machine Translation. 5039-5049
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